Abstract: The invention relates to method and system for automatic identification of a primary manufacturing process (PMP) from a three-dimensional (3D) model of a product. The method includes generating a plurality of images corresponding to a plurality of views of the product based on the 3D model of the product; determining a plurality of confidence score vectors, based on the plurality of images, using a first Artificial Neural Network (ANN) model; determining an aggregate confidence score vector, representing a pre-defined PMP category with maximum frequency, based on the plurality of confidence score vectors; extracting a set of manufacturing parameters associated with the product, based on the 3D model of the product; and identifying the PMP based on the aggregate confidence score vector and the set of manufacturing parameters, using a second ANN model.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for integrating control and operation of multi-tooltip processes with computer-aided manufacturing and/or design software and systems include method(s) including: obtaining toolpaths for manufacturing a physical structure and process control constraints, each of the toolpaths corresponding to a respective tooltip of a computer-controlled tool of a manufacturing system, each of the toolpaths designates a respective path for the respective tooltip within a workspace, and the process control constraints define capabilities of each of the respective tooltips within the workspace; defining a main toolpath and metadata defining operational parameters for the toolpaths based on the process control constraints; simulating manufacturing of the physical structure using the main toolpath and the metadata; and providing at least the main toolpath and the metadata for use in manufacturing the physical structure by the computer-controlled

Abstract: A method and apparatus for summarizing and conveying expected thermal responses is described. Expected thermal responses of a room or an entire structure are calculated based on thermostat setpoints. The expected thermal responses are summarized into an expected thermal response visualization and displayed to a user for easy understanding of current, and future, temperature expectations before or as a room or entire structure is heated or cooled.

Abstract: A method for configuring a modular safety switching apparatus having a plurality of electronic modules arranged in at least one module row, comprises: selecting, via a graphic user interface of a software-based configuration tool, a number of safety functions of the safety switching apparatus and logic requirements to be met by the safety switching apparatus; generating a configuration of the safety switching apparatus via the configuration tool by automated selection of the electronic modules from a plurality of types of electronic modules in order to implement the selected safety functions of the safety switching apparatus and logic requirements to be met by the safety switching apparatus; and storing the configuration of the safety switching apparatus as a configuration data set in a configuration database.

Abstract: A system for determining a light intensity field for use in manufacturing a 3D object from a volume of material. The system receives a 3D specification of a 3D geometry for the 3D object that specifies voxels within the volume that contain material that is to be part of the 3D object. The system employs a cost function for effectiveness of a light intensity field in manufacturing the 3D object. The cost function may be an adjoint of an Attenuated Radon Transform that models an energy dose that each voxel would receive during manufacture of the 3D object using the light intensity field. The system applies an optimization technique that employs the cost function to generate a measure of the effectiveness of possible light intensity fields and outputs an indication of a light intensity field that will be effective in manufacturing the 3D object.

Abstract: Provided is a highly reliable technology for optimizing an action for controlling an environment in a target space.

Abstract: A computing device of an information handling system includes a hardware component. The hardware component is also connected to a trace. The computing device also includes a corrosion management component that is physically connected to the trace. The corrosion management component reduces a rate of corrosion of the trace due to an ambient environment in which the trace resides. The corrosion management component reduces the rate of corrosion by applying an electrical potential to the trace.

Abstract: A method and system for compensating for stiction of a control valve in a pneumatically controlled valve system. A digital twin model of the pneumatically controlled valve system is generated. A current segment of data signals is received from a process measurement device connected to the pneumatically controlled valve system. Operation of the pneumatically controlled valve system is monitored by comparing the current segment to the digital twin model. Stiction is detected when the digital twin model directly detects stiction or when the nonlinearity and Gaussian index are above a certain threshold. A severity of the stiction is determined. Instructions for a stiction control device are used to generate control signals to be applied to the actuator to compensate for the severity of the stiction. Further, the digital twin model is displayed with a representation of the severity of the stiction.

Abstract: A computer-implemented method for providing explainable diagnostics fora water metering system. The method can include receiving data from a water metering system regarding a potential issue in the water metering system; curating the data with a machine learning model; receiving ground truth data associated with the curated data from a user of the water metering system; comparing the curated data with the ground truth data; and optimizing the machine learning model based on the comparing.

Abstract: A method and a device for planning a specific process system, wherein during the planning of a specific process system, which consists of primary technology formed as components of the system that are interconnected with respect to process and at least one secondary technology that depends on the primary technology and enables operation of the system together with the primary technology, the primary technology is planned as a flow diagram of the system via a system planning tool, where configuration data formed as requirements, guidelines for operation of the system, system-specific basic conditions and/or specifications are added to the flow diagram, and where a data-processing device evaluates the flow diagram to which the configuration data have been added and automatically creates, optionally by accessing an archive having standard planning solutions, a specific planning solution for a secondary technology that meets the various requirements together with the planned primary technology.

Abstract: The present disclosure provides a thermostat applied to a heating, ventilation and air conditioning (HVAC) system including: a memory storing machine executable instructions; one or more processors, wherein when the machine executable instructions are executed, the one or more processors are configured to perform the following operations: obtaining device information of the HVAC system, and region information of a user's location; according to the device information of the HVAC system and the region information, in response to an energy saving mode and a schedule selected by the user, determining a predicted energy consumption and a reference energy consumption; and determining energy saving amount according to the predicted energy consumption and the reference energy consumption.

Abstract: A method for determining a root cause affecting yield in a process for manufacturing devices on a substrate, the method including: obtaining yield distribution data including a distribution of a yield parameter across the substrate or part thereof; obtaining sets of metrology data, each set including a spatial variation of a process parameter over the substrate or part thereof corresponding to a different layer of the substrate; comparing the yield distribution data and metrology data based on a similarity metric describing a spatial similarity between the yield distribution data and an individual set out of the sets of the metrology data; and determining a first similar set of metrology data out of the sets of metrology data, being the first set of metrology data in terms of processing order for the corresponding layers, which is determined to be similar to the yield distribution data.

Abstract: A user interface for designing, configuring and/or editing a control flow representing a control strategy associated with a semiconductor manufacturing process, the user interface including: a library of control elements having at least a control element representing a task of simulation and each control element being selectable by a user; a control flow editor configured to organize the control elements into a control flow representing the control strategy; and a communication interface for communicating the control flow to a calculation engine configured to evaluate the control flow.

Abstract: A method and apparatus is described in which a signal indicative of an operation of a energy source of a 3D printer during a second predetermined time period commencing with the end of a first predetermined time period is obtained, the first predetermined time period commencing with an activation of the energy source, wherein the energy source is active throughout the first and second time periods; the obtained signal is compared with a reference signal; and it is determined, based on the comparison, whether the energy source is operating according to predetermined characteristics.

Abstract: An approach for auto tuning a PID controller that may incorporate determining set-points for controlled variables, obtaining controlled variables from a controlled process module, taking a difference between the set-points and the controlled variable as inputs to a proportional, integral and derivative (PID) controller, calculating a loss or reward from the difference between the controlled variables and the set-points, and achieving set-point tracking. The loss or reward needs to be an increasing or decreasing function of a control error value. Also incorporated may be adding loss or reward components based on controlled variables time difference or control action time difference, which may effect a self-tuned performance of the PID controller.

Abstract: An aggregated distribution system includes an HVAC controller, a battery controller, and an aggregated data management engine. The aggregated data management engine is configured to retrieve an HVAC energy usage profile and retrieve a battery energy usage profile. The aggregated distribution system also includes distribution engine configured to forward a first set of HVAC dual variables and forward a first set of battery dual variables to a first neighboring unit of the aggregated distribution system, receive one or more additional sets of HVAC dual variables and one or more additional sets of battery dual variables from one or more neighboring units of the aggregated distribution system, update the HVAC energy usage profile with the one or more additional sets of HVAC dual vehicles and update the battery energy usage profile with the one or more additional sets of battery dual vehicles.

Abstract: There is provided a configuration that includes: a main controller configured to, when executing a process recipe including a specific step of executing a sub-recipe, control a process controller to execute the sub-recipe a predetermined number of times to perform a predetermined process to a substrate: and a device management controller configured to collect device data during an execution of the process, recipe and store the device data in a storage part. The device management controller is further configured to: search the storage part; acquire the device data in a designated step among respective steps constituting the sub-recipe for a number of times of execution of the sub-recipe; calculate a first standard deviation of the device data acquired for the number of times of execution; and compare the first standard deviation with a threshold value and generate an alarm when the first standard deviation exceeds the threshold value.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using toolpaths generated by reinforcement learning for use with subtractive manufacturing systems and techniques, include: obtaining, in a computer aided design or manufacturing program, a three dimensional model of a manufacturable object; generating toolpaths that are usable by a computer-controlled manufacturing system to manufacture at least a portion of the manufacturable object by providing at least a portion of the three dimensional model to a machine learning algorithm that employs reinforcement learning, wherein the machine learning algorithm includes one or more scoring functions that include rewards that correlate with desired toolpath characteristics comprising toolpath smoothness, toolpath length, and avoiding collision with the three dimensional model; and providing the toolpaths to the computer-controlled manufacturing system to manufacture at le

Abstract: A method of controlling the cooling of servers in a data center including a plurality of server racks each including a plurality of servers, the cooling being provided by aisle cooling units via a cold isle and by server fans, wherein the method includes: obtaining temperature measurements from temperature sensors in the data center, performing an optimization of the total power consumption of the aisle cooling units and of the servers based on the temperature measurements, with constraints on a cold aisle temperature and on an air flow level of the aisle cooling units, and controlling the aisle cooling units based on the optimization.

Abstract: A method of manufacturing a 3D modeled object, includes modeling including applying a modeling solution to powder laid in layers, hardening the powder to which the modeling solution applied to form modeling layers, and sequentially stacking the modeling layers to form a 3D modeled object; and immersing the 3D modeled object modeled at the modeling in a removal solution to remove the powder to which the modeling solution is not applied. At the modeling, the modeling solution is applied such that a density of the modeling solution in an inside of the 3D modeled object is smaller than a density of the modeling solution in a surface of the 3D modeled object and an area of the powder to which the modeling solution is applied and an area of the powder to which the modeling solution is not applied are alternate in the inside of the 3D modeled object.